Class ImageClassificationModelMetadata (2.48.0)

public final class ImageClassificationModelMetadata extends GeneratedMessageV3 implements ImageClassificationModelMetadataOrBuilder

Model metadata for image classification.

Protobuf type google.cloud.automl.v1.ImageClassificationModelMetadata

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > ImageClassificationModelMetadata

Static Fields

BASE_MODEL_ID_FIELD_NUMBER

public static final int BASE_MODEL_ID_FIELD_NUMBER
Field Value
Type Description
int

MODEL_TYPE_FIELD_NUMBER

public static final int MODEL_TYPE_FIELD_NUMBER
Field Value
Type Description
int

NODE_COUNT_FIELD_NUMBER

public static final int NODE_COUNT_FIELD_NUMBER
Field Value
Type Description
int

NODE_QPS_FIELD_NUMBER

public static final int NODE_QPS_FIELD_NUMBER
Field Value
Type Description
int

STOP_REASON_FIELD_NUMBER

public static final int STOP_REASON_FIELD_NUMBER
Field Value
Type Description
int

TRAIN_BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER

public static final int TRAIN_BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER
Field Value
Type Description
int

TRAIN_COST_MILLI_NODE_HOURS_FIELD_NUMBER

public static final int TRAIN_COST_MILLI_NODE_HOURS_FIELD_NUMBER
Field Value
Type Description
int

Static Methods

getDefaultInstance()

public static ImageClassificationModelMetadata getDefaultInstance()
Returns
Type Description
ImageClassificationModelMetadata

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

newBuilder()

public static ImageClassificationModelMetadata.Builder newBuilder()
Returns
Type Description
ImageClassificationModelMetadata.Builder

newBuilder(ImageClassificationModelMetadata prototype)

public static ImageClassificationModelMetadata.Builder newBuilder(ImageClassificationModelMetadata prototype)
Parameter
Name Description
prototype ImageClassificationModelMetadata
Returns
Type Description
ImageClassificationModelMetadata.Builder

parseDelimitedFrom(InputStream input)

public static ImageClassificationModelMetadata parseDelimitedFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
ImageClassificationModelMetadata
Exceptions
Type Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ImageClassificationModelMetadata parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ImageClassificationModelMetadata
Exceptions
Type Description
IOException

parseFrom(byte[] data)

public static ImageClassificationModelMetadata parseFrom(byte[] data)
Parameter
Name Description
data byte[]
Returns
Type Description
ImageClassificationModelMetadata
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static ImageClassificationModelMetadata parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data byte[]
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ImageClassificationModelMetadata
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static ImageClassificationModelMetadata parseFrom(ByteString data)
Parameter
Name Description
data ByteString
Returns
Type Description
ImageClassificationModelMetadata
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static ImageClassificationModelMetadata parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteString
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ImageClassificationModelMetadata
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static ImageClassificationModelMetadata parseFrom(CodedInputStream input)
Parameter
Name Description
input CodedInputStream
Returns
Type Description
ImageClassificationModelMetadata
Exceptions
Type Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static ImageClassificationModelMetadata parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ImageClassificationModelMetadata
Exceptions
Type Description
IOException

parseFrom(InputStream input)

public static ImageClassificationModelMetadata parseFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
ImageClassificationModelMetadata
Exceptions
Type Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ImageClassificationModelMetadata parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ImageClassificationModelMetadata
Exceptions
Type Description
IOException

parseFrom(ByteBuffer data)

public static ImageClassificationModelMetadata parseFrom(ByteBuffer data)
Parameter
Name Description
data ByteBuffer
Returns
Type Description
ImageClassificationModelMetadata
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static ImageClassificationModelMetadata parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteBuffer
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ImageClassificationModelMetadata
Exceptions
Type Description
InvalidProtocolBufferException

parser()

public static Parser<ImageClassificationModelMetadata> parser()
Returns
Type Description
Parser<ImageClassificationModelMetadata>

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
Name Description
obj Object
Returns
Type Description
boolean
Overrides

getBaseModelId()

public String getBaseModelId()

Optional. The ID of the base model. If it is specified, the new model will be created based on the base model. Otherwise, the new model will be created from scratch. The base model must be in the same project and location as the new model to create, and have the same model_type.

string base_model_id = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
String

The baseModelId.

getBaseModelIdBytes()

public ByteString getBaseModelIdBytes()

Optional. The ID of the base model. If it is specified, the new model will be created based on the base model. Otherwise, the new model will be created from scratch. The base model must be in the same project and location as the new model to create, and have the same model_type.

string base_model_id = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
ByteString

The bytes for baseModelId.

getDefaultInstanceForType()

public ImageClassificationModelMetadata getDefaultInstanceForType()
Returns
Type Description
ImageClassificationModelMetadata

getModelType()

public String getModelType()

Optional. Type of the model. The available values are:

  • cloud - Model to be used via prediction calls to AutoML API. This is the default value.
  • mobile-low-latency-1 - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile or edge device with TensorFlow afterwards. Expected to have low latency, but may have lower prediction quality than other models.
  • mobile-versatile-1 - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile or edge device with TensorFlow afterwards.
  • mobile-high-accuracy-1 - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile or edge device with TensorFlow afterwards. Expected to have a higher latency, but should also have a higher prediction quality than other models.
  • mobile-core-ml-low-latency-1 - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile device with Core ML afterwards. Expected to have low latency, but may have lower prediction quality than other models.
  • mobile-core-ml-versatile-1 - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile device with Core ML afterwards.
  • mobile-core-ml-high-accuracy-1 - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile device with Core ML afterwards. Expected to have a higher latency, but should also have a higher prediction quality than other models.

string model_type = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
String

The modelType.

getModelTypeBytes()

public ByteString getModelTypeBytes()

Optional. Type of the model. The available values are:

  • cloud - Model to be used via prediction calls to AutoML API. This is the default value.
  • mobile-low-latency-1 - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile or edge device with TensorFlow afterwards. Expected to have low latency, but may have lower prediction quality than other models.
  • mobile-versatile-1 - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile or edge device with TensorFlow afterwards.
  • mobile-high-accuracy-1 - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile or edge device with TensorFlow afterwards. Expected to have a higher latency, but should also have a higher prediction quality than other models.
  • mobile-core-ml-low-latency-1 - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile device with Core ML afterwards. Expected to have low latency, but may have lower prediction quality than other models.
  • mobile-core-ml-versatile-1 - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile device with Core ML afterwards.
  • mobile-core-ml-high-accuracy-1 - A model that, in addition to providing prediction via AutoML API, can also be exported (see AutoMl.ExportModel) and used on a mobile device with Core ML afterwards. Expected to have a higher latency, but should also have a higher prediction quality than other models.

string model_type = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
ByteString

The bytes for modelType.

getNodeCount()

public long getNodeCount()

Output only. The number of nodes this model is deployed on. A node is an abstraction of a machine resource, which can handle online prediction QPS as given in the node_qps field.

int64 node_count = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
long

The nodeCount.

getNodeQps()

public double getNodeQps()

Output only. An approximate number of online prediction QPS that can be supported by this model per each node on which it is deployed.

double node_qps = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
double

The nodeQps.

getParserForType()

public Parser<ImageClassificationModelMetadata> getParserForType()
Returns
Type Description
Parser<ImageClassificationModelMetadata>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
Type Description
int
Overrides

getStopReason()

public String getStopReason()

Output only. The reason that this create model operation stopped, e.g. BUDGET_REACHED, MODEL_CONVERGED.

string stop_reason = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
String

The stopReason.

getStopReasonBytes()

public ByteString getStopReasonBytes()

Output only. The reason that this create model operation stopped, e.g. BUDGET_REACHED, MODEL_CONVERGED.

string stop_reason = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
ByteString

The bytes for stopReason.

getTrainBudgetMilliNodeHours()

public long getTrainBudgetMilliNodeHours()

Optional. The train budget of creating this model, expressed in milli node hours i.e. 1,000 value in this field means 1 node hour. The actual train_cost will be equal or less than this value. If further model training ceases to provide any improvements, it will stop without using full budget and the stop_reason will be MODEL_CONVERGED. Note, node_hour = actual_hour * number_of_nodes_invovled. For model type cloud(default), the train budget must be between 8,000 and 800,000 milli node hours, inclusive. The default value is 192, 000 which represents one day in wall time. For model type mobile-low-latency-1, mobile-versatile-1, mobile-high-accuracy-1, mobile-core-ml-low-latency-1, mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1, the train budget must be between 1,000 and 100,000 milli node hours, inclusive. The default value is 24, 000 which represents one day in wall time.

int64 train_budget_milli_node_hours = 16 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
long

The trainBudgetMilliNodeHours.

getTrainCostMilliNodeHours()

public long getTrainCostMilliNodeHours()

Output only. The actual train cost of creating this model, expressed in milli node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed to not exceed the train budget.

int64 train_cost_milli_node_hours = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type Description
long

The trainCostMilliNodeHours.

hashCode()

public int hashCode()
Returns
Type Description
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

newBuilderForType()

public ImageClassificationModelMetadata.Builder newBuilderForType()
Returns
Type Description
ImageClassificationModelMetadata.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected ImageClassificationModelMetadata.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Name Description
parent BuilderParent
Returns
Type Description
ImageClassificationModelMetadata.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Name Description
unused UnusedPrivateParameter
Returns
Type Description
Object
Overrides

toBuilder()

public ImageClassificationModelMetadata.Builder toBuilder()
Returns
Type Description
ImageClassificationModelMetadata.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
Name Description
output CodedOutputStream
Overrides
Exceptions
Type Description
IOException